{"id":"W4398817876","doi":"10.7910/dvn/v1rjpf/x3bge4","title":"cbb20150225_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001609068,0.00374438,0.002660627,0.006105086,0.001665374,0.006024912,0.005682247,0.004311463,0.3357702],"category_scores_gemma":[0.0114244,0.001335819,0.00197425,0.01140506,0.0009906697,0.003296095,0.004440685,0.002784929,0.3878484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773817,"about_ca_system_score_gemma":0.003401592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04614759,"about_ca_topic_score_gemma":0.06455838,"domain_scores_codex":[0.9985768,0.0002731231,0.0001341358,0.0004527428,0.0002622219,0.0003009335],"domain_scores_gemma":[0.9959357,0.001227392,0.0003234305,0.0009883938,0.001009506,0.0005155497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000324032,0.000007081726,0.0001434445,0.0004881819,0.00001727867,0.000006407851,0.0000136745,0.00009027332,0.0000397238,0.0003391299,0.9982585,0.0005639609],"study_design_scores_gemma":[0.0003128152,0.00001608505,0.00118568,0.0004456394,0.00003013814,0.00002577705,0.00007408968,0.000233782,0.0002103979,0.001821823,0.9956082,0.00003569646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002431797,0.00004948736,0.00002456563,0.00007571722,0.00002677979,0.000004582329,0.9988366,0.0003666783,0.0005912308],"genre_scores_gemma":[0.0001936765,0.00006112859,0.0001208421,0.0000947301,0.00001269479,0.0000477791,0.9984477,0.0002226046,0.0007989324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6642299,"threshold_uncertainty_score":0.9474432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623495718011474,"score_gpt":0.2572632396381636,"score_spread":0.2310282824580489,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}